How to give variable size images as input in keras

Question

I am writing a code for image classification for two classes using keras with tensorflow backend. My images are stored in folder in computer and i want to give these images

Answer 1

Unfortunately you can't train a neural network with various size images as it is. You have to resize all images to a given size. Fortunately you don't have to do this in your hard drive, permanently by keras does this for you on hte fly.

Inside your flow_from_directory you should define a target_size like this:

train_generator = train_datagen.flow_from_directory(
    'data/train',
    target_size=(150, 150), #every image will be resized to (150,150) before fed to neural network
    batch_size=32,
    class_mode='binary')

Also, if you do so, you can have whatever batch size you want.